论文信息 - Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction - 字舞流文

Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

Dajiang J. Liu | Holly E. Poore | James W. Madole | T. Ideker | L. Almasy | K. Bucholz | M. Schuckit | V. Hesselbrock | S. Vrieze | B. Porjesz | T. Foroud | L. Wetherill | D. Chorlian | L. Bauer | S. Kuperman | S. Rosenthal | A. Anokhin | A. Agrawal | P. Koellinger | K. Harris | J. Gelernter | S. Kinreich | L. Ación | H. Edenberg | Hang Zhou | R. de Vlaming | J. Tischfield | H. Kranzler | I. Waldman | C. Kamarajan | A. Pandey | S. Saccone | D. Dick | R. Karlsson Linnér | J. Kramer | J. Rice | E. Tucker-Drob | S. Sanchez-Roige | R. Kember | Emma C. Johnson | K. Verweij | J. Salvatore | X. Xuei | G. Chan | M. Chao | K. Harden | G. Pandey | Jian Zhang | A. Grotzinger | T. Mallard | J. Pasman | S. Lourens | Mengzhen Liu | F. Aliev | D. Lai | M. Kapoor | V. McCutcheon | A. Parsian | Denise M. Scott | M. Plawecki | H. Chin | J. Madole | John I. Nurnberger, Jr. | J. Meyer | Andrew Brooks | M. Driver | J. Tielbeek | A. Palmer | L. Bierut | Holly E Poore | Peter B. Barr | Alison Goate | Ronald P. Hart | Paul Slesinger | S. O’Connor | Bernice Victor Tatiana M. Arpana Howard J. John I. Yunlong Porjesz Hesselbrock Foroud Agrawal Edenbe | Yunlong Liu | Jacquelyn L. Meyer | P. Barr | Jacquelyn L. Meyer | Paul A. Slesinger | S. O'Connor

[1] Trey Ideker,et al. Multiscale community detection in Cytoscape , 2020, PLoS Comput. Biol..

[2] L. Farrer,et al. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder: A Genome-Wide Association Study. , 2020, JAMA psychiatry.

[3] K. Rudolph,et al. Smarcd3 is an epigenetic modulator of the metabolic landscape in pancreatic ductal adenocarcinoma , 2020, Nature Communications.

[4] A. Caspi,et al. Clustering of health, crime and social-welfare inequality in 4 million citizens from 2 nations , 2019, Nature Human Behaviour.

[5] N. Wray,et al. GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores. , 2019, The American journal of psychiatry.

[6] Zhiping Weng,et al. Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk , 2018, Science.

[7] Prashant S. Emani,et al. Comprehensive functional genomic resource and integrative model for the human brain , 2018, Science.

[8] Helen E. Parkinson,et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 , 2018, Nucleic Acids Res..

[9] Alicia R. Martin,et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder , 2018, Nature Genetics.

[10] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.

[11] Yang Ni,et al. Polygenic prediction via Bayesian regression and continuous shrinkage priors , 2018, Nature Communications.

[12] Sarah M. Hartz,et al. Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders , 2018, Nature Neuroscience.

[13] A. Case,et al. Mortality and Morbidity in the 21st Century , 2017, Brookings papers on economic activity.

[14] Mary Goldman,et al. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics , 2016, Nature Communications.

[15] N. Cox,et al. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record , 2017, PloS one.

[16] L. Bierut,et al. Comparison of Parent, Peer, Psychiatric, and Cannabis Use Influences Across Stages of Offspring Alcohol Involvement: Evidence from the COGA Prospective Study , 2017, Alcoholism, clinical and experimental research.

[17] Daning Lu,et al. Chromosome conformation elucidates regulatory relationships in developing human brain , 2016, Nature.

[18] Joseph K. Pickrell,et al. Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses , 2016, Nature Genetics.

[19] Mark A. Elliott,et al. The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth , 2016, NeuroImage.

[20] Kosha Ruparel,et al. The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative. , 2015, Journal of child psychology and psychiatry, and allied disciplines.

[21] P. Visscher,et al. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores , 2015, bioRxiv.

[22] Tom R. Gaunt,et al. The UK10K project identifies rare variants in health and disease , 2015, Nature.

[23] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[24] Ian J. Deary,et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method , 2014, Proceedings of the National Academy of Sciences.

[25] Zoltán Kutalik,et al. Quality control and conduct of genome-wide association meta-analyses , 2014, Nature Protocols.

[26] Allan R. Jones,et al. Transcriptional Landscape of the Prenatal Human Brain , 2014, Nature.

[27] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.

[28] Ellen T. Gelfand,et al. The Genotype-Tissue Expression (GTEx) project , 2013, Nature Genetics.

[29] K. Kendler,et al. The boundaries of the internalizing and externalizing genetic spectra in men and women , 2013, Psychological Medicine.

[30] F. Dudbridge. Power and Predictive Accuracy of Polygenic Risk Scores , 2013, PLoS genetics.

[31] Andrew Smolen,et al. The National Longitudinal Study of Adolescent Health (Add Health) Sibling Pairs Data , 2012, Twin Research and Human Genetics.

[32] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..

[33] P. Visscher,et al. GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.

[34] Sharon R Grossman,et al. Integrating common and rare genetic variation in diverse human populations , 2010, Nature.

[35] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[36] Giorgio Valle,et al. The Gene Ontology project in 2008 , 2007, Nucleic Acids Res..

[37] C. Patrick,et al. Family transmission and heritability of externalizing disorders: a twin-family study. , 2004, Archives of general psychiatry.

[38] P. Shannon,et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[39] C. Patrick,et al. Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. , 2002, Journal of abnormal psychology.

[40] M. McQueen,et al. The National Longitudinal Study of Adolescent to Adult Health (Add Health) Sibling Pairs Genome-Wide Data , 2015, Behavior genetics.

[41] J. Merrick,et al. Impulsivity and suicidal behavior. , 2005 .

[42] H. Edenberg. The Collaborative Study on the Genetics of Alcoholism: An Update , 2002, Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism.

[43] Philip Lijnzaad,et al. The Ensembl genome database project , 2002, Nucleic Acids Res..

[44] V. Hesselbrock,et al. The Collaborative Study on the Genetics of Alcoholism , 1995 .

[45] T. Achenbach,et al. The classification of children's psychiatric symptoms: a factor-analytic study. , 1966, Psychological monographs.